Path following via kinetic-potential energy shaping

Author(s):  
Joel Ferguson ◽  
Ryotaro Shima ◽  
Kenji Fujimoto
Author(s):  
Hüseyin Alpaslan Yıldız ◽  
Leyla Gören-Sümer

The energy shaping method, Controlled Lagrangian, is a well-known approach to stabilize the underactuated Euler Lagrange (EL) systems. In this approach, to construct a control rule, some nonlinear and nonhomogeneous partial differential equations (PDEs), which are called matching conditions, must be solved. In this paper, a method is proposed to obtain an approximate solution of these matching conditions for a class of underactuated EL systems. To develop this method, the potential energy matching condition is transformed to a set of linear PDEs using an approximation of inertia matrices. Hence, the assignable potential energy function and the controlled inertia matrix both are constructed as a common solution of these PDEs. Subsequently, the gyroscopic and dissipative forces are determined as the solution for kinetic energy matching condition. Conclusively, the control rule is constructed by adding energy shaping rule and additional dissipation injection to provide asymptotic stability. The stability analysis of the closed-loop system which used the control rule derived with the proposed method is also provided. To demonstrate the success of the proposed method, the stability problem of the inverted pendulum on a cart is considered.


2019 ◽  
Vol 3 (4) ◽  
pp. 960-965 ◽  
Author(s):  
Joel Ferguson ◽  
Alejandro Donaire ◽  
Richard H. Middleton

Author(s):  
Ehsan Azadi Yazdi ◽  
Aria Alasty

The biped walking robot demonstrates a stable limit cycle on shallow slopes. In previous researches, this passive gait was shown to be sensitive to ground slope and initial conditions. In this paper, we discuss the feedback stabilization of a biped robot by the “energy shaping” technique. Two designs are proposed to reduce the sensitivity of the biped walking robot to slope and initial conditions. In the first design, a moving mass actuator is located on each link of the robot. The actuators are used to shape the potential energy of the biped robot so that it tracks the potential energy of a known passive gait of a similar biped robot on a different slope. Although the method is applied to a simple kneeless planar biped, our results are completely generalizable and may be applied to general n-link bipeds. The second design uses a momentum wheel, which is placed on the hip of the robot to shape the energy of the biped. We use the controlled Lagrangian method to design the controller, and the simulation is carried out to show its performance. In the controlled Lagrangian method, either the total energy or the Lagrangian of the uncontrolled system is modified so that the Euler–Lagrange equations derived from this modified expression, called the controlled Lagrangian function, describe the closed loop equations of the system.


2012 ◽  
Vol 10 (3) ◽  
pp. 385-390 ◽  
Author(s):  
Liangcheng Cai ◽  
Yong He ◽  
Min Wu ◽  
Jinhua She

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